ABSTRACT
The recent developments in electric energy systems, namely, the on-going liberalization of the energy markets, the pressing demands for power system efficiency and power quality, and the increase ofrenewable and dispersed generation and power exchanges among utilities, dictate the need for improvements in power system planning, operation, and control. Machine learning techniques together with the traditional analytical techniques can significantly contribute to the solution of the related problems.
